Senior Software Engineer — C++ · Python · JavaScript · AI
Senior Software Engineer and Architect with deep expertise in secure, high-performance measurement platforms
and cross-browser extensions. A proven track record of modernising legacy systems and driving product
evolution at Comscore and TCS (Nielsen) — built on a foundation that includes equity trading systems at Morgan
Stanley and award-winning TTS technology. Currently exploring the intersection of systems engineering and
applied AI, with recent work on AWS Bedrock-powered applications.
With over 20 years in software engineering, I specialise in secure, high-performance platforms where reliability
and privacy are foundational. My expertise spans audience measurement, high-frequency trading, and
accessibility-focused AI, consistently ensuring complex systems operate quietly and correctly at scale.
Recently, I've engineered audience measurement tools for Comscore and Nielsen (TCS) — including Windows
applications and cross-browser extensions used by millions. This involved strict resource budgets, cross-platform
parity, and architecting platforms like the award-winning Netsight Chromebook Meter. Earlier, I built low-latency
equity trading infrastructure for Morgan Stanley and co-developed Vaachak, a nationally awarded Hindi/English
text-to-speech engine later acquired by Nuance/Microsoft.
Today, I blend systems engineering with applied AI. As an AWS Certified AI Practitioner, I design event-driven,
serverless architectures using Amazon Bedrock. Recent projects include SecureView, a privacy-first AI Chrome
extension for URL categorisation, and SecureBin, an AI mobile app for Australian waste classification — both built
on production-grade AWS pipelines.
Having maintained systems running invisibly on millions of devices, I prioritise reliability, performance budgets,
and robust edge-case handling. Based in Melbourne, I am actively seeking senior engineering and architect roles
where deep systems experience meets modern AI capability.
A Chrome Extension (Manifest V3) that tracks active browsing time per site, automatically categorises
every
domain into one of 11 categories (Technology, Entertainment, Productivity, and more), and surfaces the
data
through a clean popup with daily history and search. For sites that cannot be classified by rule, it falls
back to Amazon Bedrock via a serverless AWS pipeline —
keeping
the API key entirely server-side. Built with pure vanilla JavaScript; no build step, no dependencies.
Architecture
Chrome Extension rule engine (local, no network) → cache miss triggers AI path: CloudFront → Lambda@Edge
(auth) → API Gateway → Lambda → Amazon Bedrock (Claude) → category returned → cached in Chrome storage
so
the same domain is never sent twice.
A cross-platform iOS & Android app (React Native / Expo) that uses the device camera to photograph
waste
items and classifies which bin they belong to using Amazon
Bedrock's
vision AI. Advice is tailored to the user's Australian state and council — covering all eight
kerbside bin categories (general waste, mixed recycling, organics/FOGO, glass, drop-off, reuse, and more).
Scan history is stored locally on-device. No login or account required. Images are deleted from S3
immediately
after processing; job records in DynamoDB expire after 24 hours.
*Disclaimer: SecureBin is an independent application and is not affiliated with
any government entity.
Architecture
Mobile app → CloudFront + OAC (SigV4) → Lambda presign URL → direct S3 PUT → S3 event triggers Processor
Lambda → Amazon Bedrock APAC cross-region inference (Sydney + Melbourne) → DynamoDB result → app polls →
displays item name + bin colour.
A mobile app that uses the device camera to photograph Australian parking signs and instantly tells you
whether you can park, for how long, and any restrictions — powered by Amazon Bedrock vision AI and a
serverless AWS backend.
A serverless web application that uses Amazon Textract and Bedrock to instantly extract line items from
receipts (images or PDFs) and splits costs across multiple people. Features real-time calculation,
tax/discount allocation, and secure authentication via Cognito.
Architecture
Static frontend (S3/CloudFront) → Cognito Auth → Lambda Function URL → Textract (Async for PDFs) →
Amazon Bedrock (Claude) → DynamoDB for state persistence.
Comscore: A global media measurement and analytics company that provides marketing data and
analytics to enterprises, advertising agencies, brand marketers, and publishers. www.comscore.com
ResearchSecure is a Windows-based tracking application deployed on panelist machines to silently monitor
and capture user activity for behavioural research and analytics. I was responsible for designing,
implementing, maintaining, and enhancing critical application modules to enable secure, efficient, and
unobtrusive data collection. My work involved close collaboration with cross-functional teams to improve
the application's performance, reliability, and scalability, all while ensuring strict adherence to data
privacy and security standards.
Additionally, contributed to the maintenance and support of Comscore's legacy Windows applications,
ensuring stability, compatibility, and ongoing performance improvements.
Roles &
Responsibilities
Served as Senior Engineer and responsible for the development and maintenance of major modules
within the ResearchSecure application for Windows 10 and 11 supporting both x86 and x64 architectures.
Engaged in end-to-end requirement analysis, actively collaborating with stakeholders to define
application architecture and implementation strategies.
Authored, updated, and maintained comprehensive technical documentation using iShare and Confluence.
Identified opportunities for process improvement by utilising tools like WinDbg to analyse
production crash dumps and resolve critical issues.
Technologies &
Environment
Visual
C++STLWindows
APIWindows
ServiceJavaScriptWindows
11 (x86/x64)Visual
Studio 2010/2017/2019WinDbgGITJIRA
Technical Architect
Sep 2015 – Mar
2022
Tata Consultancy Services · Australia & New Zealand
(Client: Nielsen)
TCS: Part of more than $328 billion Tata group, a leader in the global marketplace, IT
consultancy services and amongst the top 10 technology firms in the world. www.tcs.com Nielsen: A global leader in online market research, statistical measurement and analytics. www.nielsen.com
Netsight Chromebook Meter
Netsight Chromebook Meter is a key component of Nielsen's Audience Measurement suite within the Nielsen
Digital Panel portfolio. It is designed to unobtrusively capture detailed panelist activity on Chromebooks
without disrupting the user experience. The collected behavioural data is securely transmitted to AWS S3
for further processing and storage. This data is later used to generate reports and deliver insights that
drive online market research and digital audience analytics.
Roles &
Responsibilities
Served as the primary designer and developer of the Chromebook Extension Meter, leading its
development from concept to production deployment.
Worked within an Agile environment, contributing to sprint-based development cycles and continuous
delivery.
Actively participated in requirements analysis by collaborating with stakeholders, proposing
technical solutions, and implementing them effectively.
Designed and built the extension from the ground up, ensuring robust functionality, performance, and
user transparency.
Authored and maintained comprehensive technical documentation and operational procedures using
Confluence, supporting long-term maintainability and team collaboration.
Netsight Meter is a core component of Nielsen's Audience Measurement platform under the Nielsen Digital
Panel portfolio. This Windows-based application is designed to unobtrusively log detailed panelist
activity on their computers without disrupting their experience. Collected data is securely uploaded to
AWS S3 for processing and storage, and is later utilised to generate reports and derive insights for
online market research and digital audience analytics.
Key Sub-Projects
WebSocket Based Browser Extension
Developed a WebSocket protocol-based server to
facilitate communication between browser extensions (Chrome, Edge, Firefox, Safari) and the
on-device Netsight Meter application.
Extension Only Meter
Developed a Chrome-based browser extension
functioning as a standalone Netsight Meter. It measures all activities on the Chrome browser across
Windows, Mac, and Chromebook platforms and securely transmits data for report generation.
Roles &
Responsibilities
Served as Senior Engineer and Technical Lead, responsible for the development and maintenance of
multiple modules within the Netsight Meter application across Windows 7, 8.1, 10, and 11, supporting
both x86 and x64 architectures.
Led Agile-based development efforts, including sprint planning, backlog grooming, sprint board
management, and daily stand-up meetings.
Engaged in end-to-end requirement analysis, actively collaborating with stakeholders—including
business teams, subject matter experts, and downstream consumers—to define application architecture
and implementation strategies.
Authored, updated, and maintained comprehensive technical documentation and operational procedures
using iShare and Confluence.
Identified opportunities for process improvement through FMEA (Failure Mode and Effects Analysis),
and utilised tools like WinDbg to analyse production crash dumps and resolve critical issues.
Provided technical mentorship to team members, conducted code reviews, and supported skill
development to ensure high code quality and team growth.
Technologies &
Environment
CC++AWS
S3/LambdaPythonC#STLWindows
APIWindows
ServiceJavaScriptgtestAgile/ScrumVisual
Studio 2010/2013/2017WinDbgHTTPAnalyzerCVS/GIT/BitbucketJenkinsJIRA
Operating Systems Supported
Windows
11Windows
10Windows
8.1Windows
7Windows
Vistax86 /
x64
Senior Software Engineer
May 2009 – Aug
2015
Tata Consultancy Services · India (Client: Nielsen)
TCS: Part of more than $328 billion Tata group, a leader in the global marketplace, IT
consultancy services and amongst the top 10 technology firms in the world. www.tcs.com Nielsen: A global leader in online market research, statistical measurement and analytics. www.nielsen.com
Netsight Meter
Netsight Meter is a core component of Nielsen's Audience Measurement platform under the Nielsen Digital
Panel portfolio. This Windows-based application is designed to unobtrusively log detailed panelist
activity on their computers without disrupting their experience. Collected data is securely uploaded to
AWS S3 for processing and storage, and is later utilised to generate reports and derive insights for
online market research and digital audience analytics.
Key Sub-Projects
Browser Tracking APIs (NPAPI & Native Host)
Developed C++ NPAPI plugins and Native Host
applications along with JavaScript extensions to collect Firefox and Chrome data, ensuring robust
tracking compliance with modern browser architectures.
RTMP & Audio Event Tracking
Designed RTMP video tracking based on Adobe
Messaging Format and developed an audio tracker in VC++ using Loopback Audio Filter and WASAPI for
secure and robust media data collection.
Roles &
Responsibilities
Served as Senior Engineer and responsible for the development and maintenance of multiple modules
within the Netsight Meter application across Windows Vista, 7 and 8.1, supporting both x86 and x64
architectures.
Engaged in end-to-end requirement analysis, actively collaborating with stakeholders—including
business teams, subject matter experts, and downstream consumers—to define application architecture
and implementation strategies.
Authored, updated, and maintained comprehensive technical documentation and operational procedures
using iShare and Confluence.
Identified opportunities for process improvement through FMEA (Failure Mode and Effects Analysis),
and utilised tools like WinDbg to analyse production crash dumps and resolve critical issues.
Provided technical mentorship to team members, conducted code reviews, and supported skill
development to ensure high code quality and team growth.
Technologies &
Environment
C/C++C#AWS
S3/LambdaSTLWindows
APIWindows
ServiceJavaScriptPythongtestAgile/ScrumWindows/LinuxVisual
Studio 2010/2013WinDbgHTTPAnalyzerCVS/GIT/BitbucketJenkinsJIRA
Operating Systems Supported
Windows
8.1Windows
7Windows
VistaWindows
XPx86 /
x64
Software Engineer
May 2007 – Apr
2009
Tata Consultancy Services · India (Client: Morgan Stanley)
TCS: Part of more than $328 billion Tata group, a leader in the global marketplace, IT
consultancy services and amongst the top 10 technology firms in the world. www.tcs.com Morgan Stanley: A global investment firm specialising in wealth management, investment
banking, and sales and trading services. www.morganstanley.com
Equity Trading System (ETS)
Exchange Connectivity (Order Router-OR) connects the Morgan Stanley internal systems to Trading Exchanges
across Asian, European and US regions.
Key Sub-Project
Order Router Connectivity Platforms
Developed and enhanced the Order Router
application connecting to European and Asian exchanges including BSE, EUWAX, XQS, LSE, MEFF, SAXESS,
and Xetra to process trading and market data efficiently.
Roles &
Responsibilities
Software development and maintenance of various exchange connectivity equity trading system (ETS)
applications for Morgan Stanley.
Extensively worked for the requirement analysis, interacting with exchange developers and their
respective implementations specifically BSE, EUWAX, XQS, LIFFE, EUREX, XQS and BSE.
Engaged with stakeholders such as end-users and business analysts for finalising application design,
workflows and reports.
Writing and maintaining application development documentation and operational procedures.
A product-based company working in the area of Speech Synthesis, later acquired by Nuance/Microsoft (a leading
global company that provides speech and imaging applications). www.nuance.com
Vaachak - TTS Engine
Vaachak is a Windows/Linux based text-to-speech (TTS) engine developed using C++. TTS is a speech
conversion technology that enables automatic systems to convert text to natural-sounding speech. Prologix
was first acquired by Nuance, which was later acquired by Microsoft.
Key Sub-Project
Text-to-Speech Engine Framework
Developed a Harmonic plus Noise Model (HNM) based
text-to-speech synthesis engine in Matlab and C++, significantly reducing footprint to 20-25MB while
achieving an average sentence processing time of ~100ms.
Roles &
Responsibilities
Researched, Designed and developed text-to-speech synthesis based on Harmonic Plus Noise Model (HNM)
in Matlab and C++.
Developed a framework to build HNM based parameters to be used as TTS solutions for Indian Languages
which is far less in size as compared to traditional sound concatenation based on phonemes and
syllables.
Constantly demonstrated improvement in the quality and performance of speech sound by R&D.
Key contributor to Vaachak, a Hindi & English TTS engine that received the
National Award for the Empowerment of Persons with Disabilities, presented by President A.P.J. Abdul Kalam,
and the Manthan Award (2005) for digital accessibility.
